from collections import namedtuple

Genotype = namedtuple('Genotype', 'normal normal_concat reduce reduce_concat')

PRIMITIVES = [
    'none',
    'max_pool_3x3',
    'avg_pool_3x3',
    'skip_connect',
    'sep_conv_3x3',
    'sep_conv_5x5',
    'dil_conv_3x3',
    'dil_conv_5x5'
]

NASNet = Genotype(
    normal=[
        ('sep_conv_5x5', 1),
        ('sep_conv_3x3', 0),
        ('sep_conv_5x5', 0),
        ('sep_conv_3x3', 0),
        ('avg_pool_3x3', 1),
        ('skip_connect', 0),
        ('avg_pool_3x3', 0),
        ('avg_pool_3x3', 0),
        ('sep_conv_3x3', 1),
        ('skip_connect', 1),
    ],
    normal_concat=[2, 3, 4, 5, 6],
    reduce=[
        ('sep_conv_5x5', 1),
        ('sep_conv_7x7', 0),
        ('max_pool_3x3', 1),
        ('sep_conv_7x7', 0),
        ('avg_pool_3x3', 1),
        ('sep_conv_5x5', 0),
        ('skip_connect', 3),
        ('avg_pool_3x3', 2),
        ('sep_conv_3x3', 2),
        ('max_pool_3x3', 1),
    ],
    reduce_concat=[4, 5, 6],
)

AmoebaNet = Genotype(
    normal=[
        ('avg_pool_3x3', 0),
        ('max_pool_3x3', 1),
        ('sep_conv_3x3', 0),
        ('sep_conv_5x5', 2),
        ('sep_conv_3x3', 0),
        ('avg_pool_3x3', 3),
        ('sep_conv_3x3', 1),
        ('skip_connect', 1),
        ('skip_connect', 0),
        ('avg_pool_3x3', 1),
    ],
    normal_concat=[4, 5, 6],
    reduce=[
        ('avg_pool_3x3', 0),
        ('sep_conv_3x3', 1),
        ('max_pool_3x3', 0),
        ('sep_conv_7x7', 2),
        ('sep_conv_7x7', 0),
        ('avg_pool_3x3', 1),
        ('max_pool_3x3', 0),
        ('max_pool_3x3', 1),
        ('conv_7x1_1x7', 0),
        ('sep_conv_3x3', 5),
    ],
    reduce_concat=[3, 4, 6]
)

DARTS = Genotype(
    normal=[
        ('sep_conv_3x3', 0),
        ('sep_conv_3x3', 1),
        ('sep_conv_3x3', 0),
        ('sep_conv_3x3', 1),
        ('sep_conv_3x3', 1),
        ('skip_connect', 0),
        ('skip_connect', 0),
        ('dil_conv_3x3', 2)
    ],
    normal_concat=[2, 3, 4, 5],
    reduce=[
        ('max_pool_3x3', 0),
        ('max_pool_3x3', 1),
        ('skip_connect', 2),
        ('max_pool_3x3', 1),
        ('max_pool_3x3', 0),
        ('skip_connect', 2),
        ('skip_connect', 2),
        ('max_pool_3x3', 1)
    ],
    reduce_concat=[2, 3, 4, 5]
)

ENAS = Genotype(
    normal=[
        ('sep_conv_3x3', 1),
        ('skip_connect', 1),
        ('sep_conv_5x5', 1),
        ('skip_connect', 0),
        ('avg_pool_3x3', 0),
        ('sep_conv_3x3', 1),
        ('sep_conv_3x3', 0),
        ('avg_pool_3x3', 0),
        ('sep_conv_5x5', 1),
        ('avg_pool_3x3', 0)
    ],
    normal_concat=[2, 3, 4, 5, 6],
    reduce=[
        ('sep_conv_5x5', 0),
        ('avg_pool_3x3', 1),
        ('sep_conv_3x3', 1),
        ('avg_pool_3x3', 1),
        ('avg_pool_3x3', 1),
        ('sep_conv_3x3', 1),
        ('sep_conv_5x5', 4),
        ('avg_pool_3x3', 1),
        ('sep_conv_3x3', 5),
        ('sep_conv_5x5', 0)
    ],
    reduce_concat=[2, 3, 6]
)

NSGANet = Genotype(
    normal=[
        ('skip_connect', 0),
        ('max_pool_3x3', 0),
        ('dil_conv_5x5', 0),
        ('max_pool_3x3', 0),
        ('dil_conv_5x5', 1),
        ('sep_conv_3x3', 3),
        ('max_pool_3x3', 1),
        ('sep_conv_5x5', 3),
        ('sep_conv_3x3', 1),
        ('sep_conv_3x3', 0)
    ],
    normal_concat=[2, 4, 5, 6],
    reduce=[
        ('avg_pool_3x3', 0),
        ('sep_conv_3x3', 1),
        ('dil_conv_3x3', 1),
        ('max_pool_3x3', 0),
        ('skip_connect', 2),
        ('dil_conv_5x5', 1),
        ('skip_connect', 2),
        ('avg_pool_3x3', 1),
        ('dil_conv_5x5', 1),
        ('dil_conv_3x3', 1)
    ],
    reduce_concat=[3, 4, 5, 6]
)



